TY - GEN
T1 - Exogenous floating marine debris
T2 - 9th Iberian Conference on Information Systems and Technologies, CISTI 2014
AU - Paige, Maria
AU - Painho, Marco
N1 - Paige, M., & Painho, M. (2014). Exogenous floating marine debris: Filling search and detection gaps using remote sensing. In 9th Iberian Conference on Information Systems and Technologies, CISTI 2014 [6876887] (Iberian Conference on Information Systems and Technologies, CISTI). IEEE Computer Society. https://doi.org/10.1109/CISTI.2014.6876887
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Exogenous floating marine debris (EFMD) presents a worldwide concern, and, due to its ubiquitous characteristics and long-term threat within oceanic environments, is going under pressing scientific scrutiny. Search and detection of EFMD using remote sensing are very challenging and are looking for new break-through scientific approaches. Besides, the significant costs associated with these techniques implemented up to now make its worldwide spread prohibitive. The main focus of this Doctorate Thesis in Information Management is to create an automatic detection method for EFMD using distinct remote sensing techniques. Remote sensing techniques for EFMD have important applications to readily monitor illegal dumping and natural disaster outputs, and to improve rescues at sea. Moreover, marine management improvement can be easily attained not only from more efficient cost-effective EFMD detection and collection, but also from better understand the quantitative links between EFMD and marine systems health. Remote sensing technological development is other possible achievement associated with this type of research, principally vising ESA new satellites scheduled to be release in a near future.
AB - Exogenous floating marine debris (EFMD) presents a worldwide concern, and, due to its ubiquitous characteristics and long-term threat within oceanic environments, is going under pressing scientific scrutiny. Search and detection of EFMD using remote sensing are very challenging and are looking for new break-through scientific approaches. Besides, the significant costs associated with these techniques implemented up to now make its worldwide spread prohibitive. The main focus of this Doctorate Thesis in Information Management is to create an automatic detection method for EFMD using distinct remote sensing techniques. Remote sensing techniques for EFMD have important applications to readily monitor illegal dumping and natural disaster outputs, and to improve rescues at sea. Moreover, marine management improvement can be easily attained not only from more efficient cost-effective EFMD detection and collection, but also from better understand the quantitative links between EFMD and marine systems health. Remote sensing technological development is other possible achievement associated with this type of research, principally vising ESA new satellites scheduled to be release in a near future.
KW - detection methods
KW - floating debris
KW - marine debris
KW - remote sensing
KW - search methods
KW - stratified search technique
UR - http://www.scopus.com/inward/record.url?scp=84906708278&partnerID=8YFLogxK
U2 - 10.1109/CISTI.2014.6876887
DO - 10.1109/CISTI.2014.6876887
M3 - Conference contribution
AN - SCOPUS:84906708278
SN - 9789899843431
T3 - Iberian Conference on Information Systems and Technologies, CISTI
BT - 9th Iberian Conference on Information Systems and Technologies, CISTI 2014
PB - IEEE Computer Society
Y2 - 18 June 2014 through 21 June 2014
ER -